The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-17"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "39670680 (up from 39329140 yesterday: 0.87 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1109833 (up from 1104354 yesterday: 0.5 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6827926

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.8



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8106384 57519 0.71 1028295 219286 711 0.33 2.71
India 7494551 61871 0.83 1502019 114031 1033 0.91 1.52
Brazil 5224362 24062 0.46 506371 153675 461 0.30 2.94
Russia 1376020 14703 1.08 237511 23857 277 1.17 1.73
Argentina 979119 13510 1.40 276635 26107 384 1.49 2.67
Colombia 952371 7017 0.74 146333 28803 187 0.65 3.02
Spain 936560 0 0.00 220079 33775 0 0.00 3.61
France 876342 0 0.00 323888 33325 0 0.00 3.80
Peru 862417 2677 0.31 67833 33648 71 0.21 3.90
Mexico 847108 5447 0.65 120677 86059 355 0.41 10.16
United Kingdom 708298 16186 2.34 276481 43669 150 0.34 6.17
South Africa 702131 1928 0.28 32633 18408 38 0.21 2.62
Iran 526490 4103 0.79 83404 30123 253 0.85 5.72
Chile 490003 1813 0.37 34024 13588 59 0.44 2.77
Iraq 423524 3221 0.77 77555 10198 56 0.55 2.41
Italy 402536 10925 2.79 94432 36474 47 0.13 9.06
Bangladesh 387295 1209 0.31 29422 5646 23 0.41 1.46
Germany 364664 4862 1.35 79638 9785 12 0.12 2.68
Indonesia 357762 4301 1.22 86423 12431 84 0.68 3.47
Philippines 354338 2588 0.74 53082 6603 72 1.10 1.86
Turkey 345678 1723 0.50 32712 9224 71 0.78 2.67
Saudi Arabia 341854 359 0.11 9064 5165 21 0.41 1.51
Pakistan 323019 567 0.18 12744 6654 16 0.24 2.06
Israel 302770 874 0.29 75670 2190 49 2.29 0.72
Ukraine 301856 6629 2.25 101290 5669 118 2.13 1.88
Netherlands 225970 8149 3.74 112452 6797 32 0.47 3.01
Belgium 213115 10964 5.42 100312 10392 33 0.32 4.88
Canada 197067 139 0.07 43297 9782 1 0.01 4.96
Romania 176468 3952 2.29 55233 5812 63 1.10 3.29
Morocco 170911 3763 2.25 55670 2878 60 2.13 1.68
Czechia 168827 8715 5.44 105533 1352 69 5.38 0.80
Poland 167230 9622 6.11 81250 3524 84 2.44 2.11
Ecuador 152422 763 0.50 18441 12375 18 0.15 8.12
Bolivia 139710 148 0.11 6118 8463 24 0.28 6.06
Nepal 129304 3167 2.51 57483 727 12 1.68 0.56
Qatar 129227 235 0.18 4377 223 1 0.45 0.17
Panama 124107 609 0.49 13999 2557 11 0.43 2.06
Dominican Republic 120925 475 0.39 9968 2195 3 0.14 1.82
Kuwait 115483 739 0.64 12284 694 4 0.58 0.60
United Arab Emirates 114387 1538 1.36 23769 459 4 0.88 0.40
Kazakhstan 109406 104 0.10 1683 1768 0 0.00 1.62
Oman 108296 0 0.00 12389 1071 0 0.00 0.99
Egypt 105297 138 0.13 2561 6109 10 0.16 5.80
Sweden 103200 0 0.00 12277 5918 0 0.00 5.73
Guatemala 101028 597 0.59 11326 3515 37 1.06 3.48
Portugal 98055 2153 2.25 25116 2162 13 0.60 2.20
Costa Rica 95514 1166 1.24 23465 1183 15 1.28 1.24
Japan 92670 626 0.68 10967 1670 6 0.36 1.80
China 90955 30 0.03 499 4739 0 0.00 5.21
Ethiopia 88434 600 0.68 15734 1346 9 0.67 1.52
Honduras 87594 903 1.04 13046 2563 7 0.27 2.93
Belarus 87063 671 0.78 9774 925 4 0.43 1.06
Venezuela 86289 531 0.62 14349 731 6 0.83 0.85
Bahrain 77571 246 0.32 8796 293 1 0.34 0.38
Switzerland 74422 0 0.00 22558 2122 0 0.00 2.85
Moldova 66652 792 1.20 16118 1569 20 1.29 2.35
Austria 63134 1747 2.85 20920 889 7 0.79 1.41
Armenia 63000 1540 2.51 13928 1067 11 1.04 1.69
Uzbekistan 62809 221 0.35 7990 522 2 0.38 0.83
Nigeria 61307 113 0.18 3109 1123 4 0.36 1.83
Lebanon 61284 1171 1.95 26042 517 8 1.57 0.84
Singapore 57904 3 0.01 219 28 0 0.00 0.05
Algeria 54203 205 0.38 3289 1846 5 0.27 3.41
Paraguay 54015 533 1.00 16093 1179 14 1.20 2.18
Kyrgyzstan 51490 470 0.92 5400 1108 5 0.45 2.15
Ireland 48678 1251 2.64 14118 1849 8 0.43 3.80
Libya 47845 0 0.00 16017 699 0 0.00 1.46
Ghana 47232 59 0.13 1010 310 0 0.00 0.66
West Bank and Gaza 46746 312 0.67 8493 402 0 0.00 0.86
Hungary 44816 1791 4.16 21739 1109 24 2.21 2.47
Azerbaijan 44317 528 1.21 4422 623 2 0.32 1.41
Kenya 44196 616 1.41 6325 825 12 1.48 1.87
Tunisia 40542 5752 16.53 26150 626 114 22.27 1.54
Afghanistan 40141 68 0.17 949 1488 3 0.20 3.71
Jordan 36053 1505 4.36 27992 330 20 6.45 0.92
Serbia 35946 227 0.64 2634 774 2 0.26 2.15
Denmark 35440 501 1.43 8753 679 2 0.30 1.92
Burma 34875 1387 4.14 24884 838 39 4.88 2.40
Bosnia and Herzegovina 33561 716 2.18 6764 981 1 0.10 2.92
El Salvador 31456 191 0.61 3041 917 5 0.55 2.92
Bulgaria 29108 603 2.12 9111 968 10 1.04 3.33
Slovakia 28268 1968 7.48 19668 82 11 15.49 0.29
Australia 27390 12 0.04 350 904 0 0.00 3.30
Korea, South 25199 91 0.36 1588 444 1 0.23 1.76
Greece 24932 482 1.97 7704 500 10 2.04 2.01
Croatia 24761 1096 4.63 8754 355 10 2.90 1.43
North Macedonia 23201 594 2.63 5718 824 3 0.37 3.55
Cameroon 21441 0 0.00 706 423 0 0.00 1.97
Cote d’Ivoire 20301 26 0.13 701 121 0 0.00 0.60
Malaysia 19627 869 4.63 8858 180 4 2.27 0.92
Madagascar 16810 56 0.33 553 238 1 0.42 1.42
Albania 16774 273 1.65 3621 448 5 1.13 2.67
Kosovo 16606 0 0.00 1181 652 0 0.00 3.93
Norway 16369 97 0.60 2742 278 0 0.00 1.70
Georgia 16285 958 6.25 11325 128 4 3.23 0.79
Zambia 15789 130 0.83 1177 346 0 0.00 2.19
Montenegro 15427 146 0.96 5230 231 3 1.32 1.50
Senegal 15392 24 0.16 523 317 0 0.00 2.06
Sudan 13691 0 0.00 85 836 0 0.00 6.11
Finland 13293 160 1.22 3716 351 0 0.00 2.64
Slovenia 12416 899 7.81 7225 184 4 2.22 1.48
Namibia 12263 48 0.39 1345 131 0 0.00 1.07
Guinea 11478 116 1.02 966 70 0 0.00 0.61
Maldives 11178 24 0.22 1133 36 1 2.86 0.32
Congo (Kinshasa) 11000 1 0.01 407 302 1 0.33 2.75
Mozambique 10707 95 0.90 2950 74 1 1.37 0.69
Luxembourg 10471 0 0.00 2238 133 0 0.00 1.27
Tajikistan 10455 41 0.39 850 80 0 0.00 0.77
Uganda 10455 121 1.17 3091 96 0 0.00 0.92

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 873614 2361 0.27 66163 16956 46 0.27 1.94 22109.97 429.13 1 in 45
Texas 848442 4955 0.59 94131 17440 65 0.37 2.06 29260.78 601.46 1 in 34
Florida 752481 4044 0.54 53799 15917 87 0.55 2.12 35035.40 741.09 1 in 29
New York 482891 1784 0.37 28131 33347 10 0.03 6.91 24822.76 1714.18 1 in 40
Illinois 343386 3629 1.07 54613 9452 27 0.29 2.75 27098.39 745.91 1 in 37
Georgia 339384 1534 0.45 25511 7607 51 0.67 2.24 31964.82 716.46 1 in 31
North Carolina 243725 2102 0.87 37665 3929 19 0.49 1.61 23238.28 374.62 1 in 43
Arizona 230459 973 0.42 13633 5824 18 0.31 2.53 30264.25 764.82 1 in 33
Tennessee 226139 2646 1.18 35248 2903 32 1.11 1.28 33094.28 424.84 1 in 30
New Jersey 218738 934 0.43 15888 16204 2 0.01 7.41 24626.58 1824.32 1 in 41
Pennsylvania 185668 1503 0.82 25735 8442 8 0.09 4.55 14503.06 659.43 1 in 69
Ohio 180225 2234 1.26 30216 5067 13 0.26 2.81 15418.21 433.48 1 in 65
Louisiana 174638 0 0.00 10710 5727 0 0.00 3.28 37566.30 1231.93 1 in 27
Alabama 171662 1288 0.76 20071 2788 2 0.07 1.62 35010.30 568.61 1 in 29
Wisconsin 166186 0 0.00 52541 1574 0 0.00 0.95 28542.36 270.33 1 in 35
Virginia 164795 1085 0.66 19528 3419 14 0.41 2.07 19306.97 400.56 1 in 52
South Carolina 163214 961 0.59 17941 3637 22 0.61 2.23 31699.95 706.39 1 in 32
Michigan 161105 1986 1.25 26732 7340 23 0.31 4.56 16131.70 734.97 1 in 62
Missouri 157108 2185 1.41 33602 2581 104 4.20 1.64 25598.35 420.53 1 in 39
Indiana 145977 2482 1.73 29428 3918 31 0.80 2.68 21683.34 581.98 1 in 46
Massachusetts 142930 584 0.41 12880 9723 21 0.22 6.80 20566.94 1399.09 1 in 49
Maryland 135127 798 0.59 12155 4036 4 0.10 2.99 22351.00 667.58 1 in 45
Minnesota 121090 1694 1.42 25431 2270 5 0.22 1.87 21471.26 402.51 1 in 47
Mississippi 110006 751 0.69 13329 3171 11 0.35 2.88 36962.53 1065.47 1 in 27
Iowa 106698 952 0.90 20790 1528 4 0.26 1.43 33817.95 484.30 1 in 30
Oklahoma 106468 1160 1.10 22958 1162 8 0.69 1.09 26906.44 293.66 1 in 37
Arkansas 98422 883 0.91 17667 1684 19 1.14 1.71 32613.55 558.02 1 in 31
Washington 97671 777 0.80 11841 2239 0 0.00 2.29 12826.31 294.03 1 in 78
Utah 93297 1340 1.46 23750 540 3 0.56 0.58 29101.13 168.44 1 in 34
Nevada 89652 967 1.09 11297 1707 0 0.00 1.90 29106.32 554.19 1 in 34
Kentucky 86797 1291 1.51 20761 1312 12 0.92 1.51 19427.79 293.67 1 in 51
Colorado 84346 1139 1.37 15857 2176 4 0.18 2.58 14646.62 377.86 1 in 68
Kansas 70023 473 0.68 13370 859 2 0.23 1.23 24035.51 294.85 1 in 42
Connecticut 62830 0 0.00 6243 4542 0 0.00 7.23 17622.70 1273.95 1 in 57
Nebraska 57332 618 1.09 13736 547 0 0.00 0.95 29638.01 282.77 1 in 34
Puerto Rico 56650 238 0.42 11237 761 3 0.40 1.34 17738.08 238.28 1 in 56
Idaho 52582 878 1.70 12286 529 6 1.15 1.01 29341.57 295.19 1 in 34
Oregon 39315 380 0.98 6734 619 2 0.32 1.57 9321.35 146.76 1 in 107
New Mexico 36343 573 1.60 7651 929 1 0.11 2.56 17332.36 443.05 1 in 58
South Dakota 32611 806 2.53 11478 315 8 2.61 0.97 36862.79 356.07 1 in 27
North Dakota 31261 744 2.44 10881 399 11 2.84 1.28 41021.60 523.58 1 in 24
Rhode Island 27691 0 0.00 3510 1152 0 0.00 4.16 26139.34 1087.45 1 in 38
Delaware 22942 218 0.96 2786 664 2 0.30 2.89 23560.12 681.89 1 in 42
Montana 22225 630 2.92 10318 239 4 1.70 1.08 20794.78 223.62 1 in 48
West Virginia 19805 219 1.12 4638 401 3 0.75 2.02 11081.91 224.38 1 in 90
District of Columbia 16334 79 0.49 1119 641 0 0.00 3.92 23144.21 908.25 1 in 43
Hawaii 13949 96 0.69 1931 186 1 0.54 1.33 9851.88 131.37 1 in 102
Alaska 10760 211 2.00 3393 67 1 1.52 0.62 14708.60 91.59 1 in 68
New Hampshire 9625 111 1.17 1504 466 1 0.22 4.84 7078.71 342.72 1 in 141
Wyoming 8816 151 1.74 3351 57 0 0.00 0.65 15232.59 98.49 1 in 66
Maine 5912 49 0.84 654 146 1 0.69 2.47 4398.12 108.61 1 in 227
Vermont 1926 11 0.57 187 58 0 0.00 3.01 3086.59 92.95 1 in 324

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 16756711 873614 5.21 2573981 66163 2.57 424089.3
2 Texas 7274236 848442 11.66 1279423 94131 7.36 250871.4
3 Florida 5704100 752481 13.19 469093 53799 11.47 265582.0
4 New York 12771403 482891 3.78 2347987 28131 1.20 656507.2
5 Illinois 6699844 343386 5.13 1268667 54613 4.30 528719.9
6 Georgia 3280668 339384 10.34 408313 25511 6.25 308989.1
7 North Carolina 3582572 243725 6.80 634769 37665 5.93 341585.0
8 Arizona 1620703 230459 14.22 186476 13633 7.31 212833.3
9 Tennessee 3305133 226139 6.84 515254 35248 6.84 483689.3
10 New Jersey 4135796 218738 5.29 623228 15888 2.55 465628.0
11 Pennsylvania 2300793 185668 8.07 315269 25735 8.16 179721.5
12 Ohio 3854399 180225 4.68 820412 30216 3.68 329743.0
13 Louisiana 2565652 174638 6.81 309587 10710 3.46 551896.3
14 Alabama 1248795 171662 13.75 143863 20071 13.95 254690.6
15 Wisconsin 1765796 166186 9.41 252153 52541 20.84 303274.5
16 Virginia 2366380 164795 6.96 373036 19528 5.23 277239.2
17 South Carolina 1585051 163214 10.30 342254 17941 5.24 307853.8
18 Michigan 4272743 161105 3.77 729686 26732 3.66 427836.6
19 Missouri 2266988 157108 6.93 977819 33602 3.44 369371.0
20 Indiana 2485506 145977 5.87 1135116 29428 2.59 369195.7
21 Massachusetts 5088797 142930 2.81 1308777 12880 0.98 732253.4
22 Maryland 3049634 135127 4.43 1465334 12155 0.83 504431.9
23 Minnesota 2458271 121090 4.93 503556 25431 5.05 435892.1
24 Mississippi 839550 110006 13.10 108837 13329 12.25 282092.7
25 Iowa 827884 106698 12.89 76986 20790 27.00 262398.0
26 Oklahoma 1434035 106468 7.42 275050 22958 8.35 362407.3
27 Arkansas 1207642 98422 8.15 273747 17667 6.45 400169.7
28 Washington 2194254 97671 4.45 393233 11841 3.01 288153.0
29 Utah 966451 93297 9.65 161372 23750 14.72 301454.7
30 Nevada 749756 89652 11.96 64078 11297 17.63 243414.9
31 Kentucky 1674648 86797 5.18 399960 20761 5.19 374836.7
32 Colorado 1646557 84346 5.12 368944 15857 4.30 285923.3
33 Kansas 589189 70023 11.88 86419 13370 15.47 202240.1
34 Connecticut 1967633 62830 3.19 448482 6243 1.39 551886.3
35 Nebraska 535347 57332 10.71 94702 13736 14.50 276749.8
37 Idaho 348518 52582 15.09 49866 12286 24.64 194478.4
38 Oregon 781643 39315 5.03 112972 6734 5.96 185322.8
39 New Mexico 1035851 36343 3.51 142362 7651 5.37 494008.3
40 South Dakota 229204 32611 14.23 43070 11478 26.65 259087.4
41 North Dakota 726187 31261 4.30 131559 10881 8.27 952923.8
42 Rhode Island 935623 27691 2.96 208154 3510 1.69 883195.6
43 Delaware 324469 22942 7.07 44070 2786 6.32 333211.1
44 Montana 428128 22225 5.19 98843 10318 10.44 400577.1
45 West Virginia 672361 19805 2.95 130070 4638 3.57 376220.3
46 District of Columbia 462968 16334 3.53 84989 1119 1.32 655995.3
47 Hawaii 469684 13949 2.97 179717 1931 1.07 331727.7
48 Alaska 530500 10760 2.03 87631 3393 3.87 725177.5
49 New Hampshire 523341 9625 1.84 100750 1504 1.49 384891.3
50 Wyoming 117570 8816 7.50 19699 3351 17.01 203141.5
51 Maine 533689 5912 1.11 127270 654 0.51 397027.4
52 Vermont 177333 1926 1.09 17057 187 1.10 284192.5

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1595381 9060 0.57 1369810 85.86 182973 42115 150 0.36 2.64
Andhra Pradesh 783132 3986 0.51 740229 94.52 36474 6429 23 0.36 0.82
Karnataka 765586 7012 0.92 645825 84.36 109264 10478 51 0.49 1.37
Tamil Nadu 687400 3914 0.57 637637 92.76 39121 10642 56 0.53 1.55
Uttar Pradesh 455146 2486 0.55 415592 91.31 32896 6658 29 0.44 1.46
Kerala 341860 7631 2.28 245399 71.78 95203 1162 22 1.93 0.34
Delhi 331017 3299 1.01 301716 91.15 23292 6009 28 0.47 1.82
West Bengal 321036 3983 1.26 281053 87.55 33927 6056 64 1.07 1.89
Odisha 268364 2019 0.76 246837 91.98 20339 1188 14 1.19 0.44
Telangana 222111 1436 0.65 198790 89.50 22050 1271 6 0.47 0.57
Bihar 204212 1152 0.57 192594 94.31 10621 996 6 0.61 0.49
Assam 200709 318 0.16 171680 85.54 28158 868 3 0.35 0.43
Rajasthan 173266 1985 1.16 150379 86.79 21140 1747 12 0.69 1.01
Chhattisgarh 160396 1894 1.19 132168 82.40 26750 1478 39 2.71 0.92
Madhya Pradesh 160188 1030 0.65 144134 89.98 13281 2773 20 0.73 1.73
Gujarat 159726 1091 0.69 141752 88.75 14336 3638 9 0.25 2.28
Haryana 150033 952 0.64 138351 92.21 10042 1640 0 0.00 1.09
Punjab 127630 476 0.37 117883 92.36 5735 4012 13 0.33 3.14
Jharkhand 96352 385 0.40 89011 92.38 6502 839 7 0.84 0.87
Jammu and Kashmir 87942 578 0.66 77886 88.57 8677 1379 7 0.51 1.57
Uttarakhand 58024 376 0.65 50982 87.86 5728 927 3 0.32 1.60
Goa 40587 187 0.46 36395 89.67 3648 544 6 1.12 1.34
Puducherry 33141 163 0.49 28290 85.36 4277 574 0 0.00 1.73
Tripura 29465 141 0.48 26199 88.92 2917 326 3 0.93 1.11
Himachal Pradesh 18967 170 0.90 16037 84.55 2630 263 3 1.15 1.39
Manipur 15463 322 2.13 11741 75.93 3606 116 5 4.50 0.75
Chandigarh 13646 64 0.47 12554 92.00 884 208 1 0.48 1.52
Arunachal Pradesh 13406 58 0.43 10552 78.71 2824 30 0 0.00 0.22
Meghalaya 8508 104 1.24 6282 73.84 2151 75 0 0.00 0.88
Nagaland 7816 118 1.53 6142 78.58 1582 21 0 0.00 0.27
Ladakh 5598 64 1.16 4615 82.44 917 66 1 1.54 1.18
Andaman and Nicobar Islands 4108 25 0.61 3868 94.16 184 56 0 0.00 1.36
Sikkim 3597 30 0.84 3184 88.52 272 60 1 1.69 1.67
Dadra and Nagar Haveli and Daman and Diu 3181 3 0.09 3102 97.52 52 2 0 0.00 0.06
Mizoram 2253 8 0.36 2148 95.34 105 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2471303 123794 2664 2.20 5.01 943 96 21625 17057 13.78
Piemonte 849485 42867 972 2.32 5.05 701 51 8880 4196 9.79
Emilia-Romagna 1366109 40333 641 1.61 2.95 427 65 8649 4509 11.18
Veneto 2135650 35051 774 2.26 1.64 328 43 8740 2247 6.41
Campania 751931 24443 1410 6.12 3.25 817 75 15690 499 2.04
Lazio 1123324 23790 994 4.36 2.12 1043 98 13237 1018 4.28
Toscana 903865 21896 879 4.18 2.42 344 50 9247 1189 5.43
Liguria 373115 17745 464 2.69 4.76 364 38 3558 1633 9.20
Sicilia 589079 11744 475 4.22 1.99 479 61 6281 362 3.08
Puglia 484125 11084 350 3.26 2.29 368 33 4980 632 5.70
Marche 280905 9254 121 1.32 3.29 77 10 1862 992 10.72
P.A. Trento 260404 6797 82 1.22 2.61 27 0 771 417 6.14
Friuli Venezia Giulia 474807 6260 167 2.74 1.32 49 13 1939 359 5.73
Abruzzo 241046 5973 148 2.54 2.48 169 13 2294 493 8.25
Sardegna 226794 5866 130 2.27 2.59 192 30 3188 172 2.93
P.A. Bolzano 201756 4648 155 3.45 2.30 66 6 1444 293 6.30
Umbria 249890 4415 205 4.87 1.77 99 16 2130 92 2.08
Calabria 236388 2683 94 3.63 1.13 58 5 994 104 3.88
Valle d’Aosta 33039 1738 78 4.70 5.26 17 2 458 146 8.40
Basilicata 87674 1226 57 4.88 1.40 40 0 638 38 3.10
Molise 53352 929 65 7.52 1.74 9 0 330 26 2.80

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 91018 0 0.00 6018 0 0.00 6.61 10660.75 704.88 1 in 94
Ontario 65869 139 0.21 3090 1 0.03 4.69 4477.28 210.04 1 in 223
Alberta 21775 0 0.00 288 0 0.00 1.32 4934.12 65.26 1 in 203
British Columbia 11189 0 0.00 251 0 0.00 2.24 2189.24 49.11 1 in 457
Manitoba 3173 0 0.00 38 0 0.00 1.20 2303.42 27.59 1 in 434
Saskatchewan 2270 0 0.00 25 0 0.00 1.10 1921.02 21.16 1 in 521
Nova Scotia 1093 0 0.00 65 0 0.00 5.95 1118.21 66.50 1 in 894
New Brunswick 297 0 0.00 2 0 0.00 0.67 380.77 2.56 1 in 2626
Newfoundland and Labrador 287 0 0.00 4 0 0.00 1.39 550.48 7.67 1 in 1817
Prince Edward Island 63 0 0.00 0 0 NaN 0.00 398.34 0.00 1 in 2510
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5237 105 2.00
Guangdong 1881 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1085 7 0.65
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 937 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 725 3 0.41
Jiangsu 669 0 0.00
Chongqing 586 6 1.02
Shaanxi 436 3 0.69
Fujian 417 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 252 3 1.19
Yunnan 211 2 0.95
Shanxi 208 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 24775.01 670.19 1 in 40
India 5597.13 85.16 1 in 179
Brazil 24961.12 734.23 1 in 40
Russia 9522.63 165.10 1 in 105
Argentina 22116.99 589.72 1 in 45
Colombia 19408.42 586.98 1 in 52
Spain 20072.01 723.85 1 in 50
France 13081.68 497.46 1 in 76
Peru 26808.11 1045.94 1 in 37
Mexico 6556.56 666.09 1 in 153
United Kingdom 10660.72 657.27 1 in 94
South Africa 12378.90 324.54 1 in 81
Iran 6487.06 371.16 1 in 154
Chile 27146.98 752.80 1 in 37
Iraq 11066.74 266.48 1 in 90
Italy 6655.69 603.08 1 in 150
Bangladesh NA NA 1 in NA
Germany 4404.69 118.19 1 in 227
Indonesia 1355.16 47.09 1 in 738
Philippines 3377.86 62.95 1 in 296

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 288451 6876 2.38
Miami-Dade Florida 178354 3540 1.98
Cook Illinois 163912 5357 3.27
Harris Texas 154367 2728 1.77
Maricopa Arizona 149720 3510 2.34
Dallas Texas 89987 1194 1.33
Broward Florida 81107 1510 1.86
Queens New York 75109 7286 9.70
Clark Nevada 74950 1469 1.96
Kings New York 73123 7370 10.08
Bexar Texas 63328 1381 2.18
Riverside California 63284 1269 2.01
San Bernardino California 59696 1021 1.71
Tarrant Texas 59274 783 1.32
Orange California 56868 1409 2.48
Bronx New York 54409 4978 9.15
San Diego California 52355 853 1.63
Palm Beach Florida 49011 1490 3.04
Nassau New York 48596 2204 4.54
Suffolk New York 48029 2016 4.20
Hillsborough Florida 45455 750 1.65
Orange Florida 43453 530 1.22
Salt Lake Utah 40713 288 0.71
Philadelphia Pennsylvania 40179 1840 4.58
Westchester New York 39476 1460 3.70
Wayne Michigan 38146 3022 7.92
New York New York 34991 3190 9.12
Milwaukee Wisconsin 34400 554 1.61
Hidalgo Texas 34179 1895 5.54
Shelby Tennessee 33996 551 1.62
Kern California 33373 410 1.23
Duval Florida 32887 508 1.54
El Paso Texas 32758 575 1.76
Hennepin Minnesota 32050 965 3.01
Mecklenburg North Carolina 31688 374 1.18
Prince George’s Maryland 31442 845 2.69
Travis Texas 30956 445 1.44
Franklin Ohio 30590 635 2.08
Middlesex Massachusetts 29986 2223 7.41
Fresno California 29911 429 1.43
Fulton Georgia 29819 606 2.03
Gwinnett Georgia 29689 433 1.46
Davidson Tennessee 29425 325 1.10
St. Louis Missouri 27900 857 3.07
Pima Arizona 26911 634 2.36
Suffolk Massachusetts 26383 1156 4.38
Utah Utah 25204 72 0.29
King Washington 25093 793 3.16
Marion Indiana 24410 780 3.20
Montgomery Maryland 24395 860 3.53
Sacramento California 24304 468 1.93
Pinellas Florida 24099 800 3.32
Bergen New Jersey 23738 2050 8.64
Cameron Texas 23709 1063 4.48
Santa Clara California 23224 373 1.61
Oakland Michigan 22931 1226 5.35
Alameda California 22636 442 1.95
Fairfax Virginia 22616 602 2.66
Essex New Jersey 22479 2134 9.49
Jefferson Alabama 22300 372 1.67
Essex Massachusetts 22035 1326 6.02
Lee Florida 21962 492 2.24
Oklahoma Oklahoma 21854 216 0.99
Polk Florida 21780 586 2.69
Hudson New Jersey 21731 1523 7.01
Fairfield Connecticut 21368 1427 6.68
San Joaquin California 21187 484 2.28
Cobb Georgia 21158 447 2.11
Nueces Texas 20993 436 2.08
Middlesex New Jersey 20930 1437 6.87
DuPage Illinois 20724 596 2.88
Providence Rhode Island 20439 909 4.45
Tulsa Oklahoma 20322 185 0.91
DeKalb Georgia 20275 390 1.92
Douglas Nebraska 20025 214 1.07
Passaic New Jersey 19976 1259 6.30
Wake North Carolina 19801 261 1.32
Baltimore Maryland 19565 653 3.34
Lake Illinois 19438 503 2.59
Jefferson Kentucky 19360 328 1.69
Cuyahoga Ohio 19212 671 3.49
Union New Jersey 18709 1363 7.29
Jefferson Louisiana 18344 580 3.16
Contra Costa California 18054 234 1.30
Polk Iowa 17906 281 1.57
Stanislaus California 17292 391 2.26
Rockland New York 17171 680 3.96
Fort Bend Texas 17126 303 1.77
Tulare California 17120 275 1.61
Collin Texas 16937 171 1.01
Macomb Michigan 16870 1061 6.29
Baltimore City Maryland 16842 496 2.95
Will Illinois 16748 418 2.50
Richmond New York 16720 1091 6.53
Charleston South Carolina 16628 271 1.63
Richland South Carolina 16626 262 1.58
Greenville South Carolina 16384 331 2.02
District of Columbia District of Columbia 16370 641 3.92
Hartford Connecticut 16273 1445 8.88
Ocean New Jersey 15952 1054 6.61

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc